@article{
 title = {Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique},
 type = {article},
 year = {2003},
 keywords = {Bayesian networks,Gaussian models,Sensitivity},
 pages = {139-148},
 volume = {79},
 websites = {http://www.sciencedirect.com/science/article/pii/S0951832002002259},
 month = {2},
 id = {45c7121a-9859-34cb-bca3-17f8e9a95d52},
 created = {2015-04-11T19:52:14.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {4a6a1914-6ba6-3cdc-b1f4-f10a6e56cb6c},
 last_modified = {2017-03-14T14:27:43.598Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The paper discusses the problem of sensitivity analysis in Gaussian Bayesian networks. The algebraic structure of the conditional means and variances, as rational functions involving linear and quadratic functions of the parameters, are used to simplify the sensitivity analysis. In particular the probabilities of conditional variables exceeding given values and related probabilities are analyzed. Two examples of application are used to illustrate all the concepts and methods.},
 bibtype = {article},
 author = {Castillo, Enrique and Kjærulff, Uffe},
 doi = {10.1016/S0951-8320(02)00225-9},
 journal = {Reliability Engineering & System Safety},
 number = {2}
}

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